Beyond Traditional Emissions Modelling in High Value Manufacturing: A Hybrid Approach for Net Zero Supply Chains
高価値製造業における従来の排出モデリングを超えて：ネットゼロサプライチェーンのためのハイブリッドアプローチ (AI 翻訳)
Victoria Omeire, Okechukwu Okorie, Paul Mativenga, Maria Sharmina, Peter Hopkinson
🤖 gxceed AI 要約
日本語
本研究は、高価値製造業のScope3排出モデリングに関する系統的文献レビューを実施し、既存手法（ゲーム理論、多地域産業連関モデル、シミュレーションなど）が断片的に使われている課題を指摘。統合的なハイブリッドモデリングアプローチを提案するとともに、データ分析の役割を強調し、ネットゼロ製造への移行を支援する研究アジェンダを提示した。
English
This study conducts a systematic literature review on Scope 3 emissions modeling in high-value manufacturing, revealing fragmentation among existing approaches (game theory, MRIO, simulation). It proposes a hybrid modeling framework integrating these methods with data analytics, providing a step-by-step process to enhance supply chain transparency and support net-zero transition. A research agenda is outlined to guide future work.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の高価値製造業（自動車・電機等）ではSSBJ対応やScope3排出量可視化が急務。本論文のハイブリッドモデルは、サプライチェーン全体の排出量を統合的に把握する手法を示しており、実務への応用が期待される。
In the global GX context
This paper addresses the fragmentation of emissions modeling approaches globally, offering a hybrid framework that aligns with ISSB and CSRD requirements for supply chain transparency. It provides a structured pathway for industries to move beyond siloed models toward integrated net-zero planning.
👥 読者別の含意
🔬研究者:Provides a comprehensive review and a novel hybrid modeling framework, along with a research agenda for future empirical and methodological work.
🏢実務担当者:Offers a step-by-step hybrid approach to improve Scope 3 emissions accuracy and supply chain transparency, directly applicable to corporate sustainability teams.
🏛政策担当者:Highlights the need for integrated modeling standards and data analytics support to enable industry-wide net-zero transition in manufacturing supply chains.
📄 Abstract（原文）
Achieving net-zero emissions in high-value manufacturing industries necessitates accurate modelling of emissions, particularly Scope 3 emissions across complex supply chains. This study conducts a systematic literature review to critically examine existing modelling approaches. It reveals that, while existing approaches, including game theory, multi-regional input-output models, and simulation modelling approaches like system dynamics, discrete event simulation, and agentbased modelling, are widely employed to enhance emissions modelling, they are predominantly used independently and lack integration. This fragmentation limits their capacity to capture the dynamic, behavioural, and macroeconomic complexities of global supply chains in high-value manufacturing contexts. Drawing on the insights from the review, we propose a hybrid modelling approach that integrates simulation, multi-regional input-output, and game theory in a step-by-step process. We also highlight the enabling role of data analytics in strengthening model integration and supply chain transparency. Finally, we develop an agenda to guide future research in hybrid emissions modelling. This research provides a pathway for translating model outputs into industryrelevant insights, identifying key barriers and exploring how to leverage emerging drivers to support a more adaptive and industry-informed transition to net-zero manufacturing.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.2139/ssrn.6575578first seen 2026-06-11 04:43:15
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。